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Explore how High-Performance Computing (HPC) is utilized to understand estuarine dynamics and provide timely forecasts, with a web platform offering access to observations, forecasts, scenarios, and indicators.
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Using HPC to enable coastal waters observatories Marta Rodrigues, Anabela Oliveira, Ricardo Martins, João Rogeiro, Daniela Santos, André B. Fortunato, Alberto Azevedo 10th IberianGrid Conference, 2019 September 23-26, 2019
Content • Background • HPC in UBEST • Operationalandscenariossimulations • UBEST Web Platform • Final Remarks
Problem Estuaries provide several ecosystem services that may be threaten by human activities and climate change
Challenges • How can scientists better understand the estuarine dynamics and the impacts of human pressures and climate change? • How to provide a channel to give the relevant information to scientists, decision-makers and the general public? • How to provide high resolution products faster?
Waterobservatories • Support daily and long-term management actions to minimize the risks for public and ecosystems health: • Anticipate events of pollution and support the emergency response • Support common activities in the water bodies (management and leisure) • Continuous surveillance of coastal zones • Implementation and tuning of management plans
Project UBEST • UBEST seeks to understand the changes on the biogeochemical buffering capacity of the estuaries and its susceptibility to future scenarios • Development of waterobservatories • Case studies:Tagus estuary andRia Formosa
HPC in UBEST • HPC is used at two levels: • for high-resolution forecasts and scenarios simulations of the circulation and water quality dynamics in the two coastal systems • to provide computational power to process data and model results through predefined or user requests at the web-portal Numericalsimulations are performedwithmodel SCHISM: open source, communitymodel, fullyparallezedwith MPI
Forecasts • Tagus estuaryand Ria Formosa • Daily forecasts of water levels and 3D currents, salinity, temperature and biogeochemical variables • ImplementedwithWaterInformationForecast Framework (WIFF) andOPENCoastS 3D service(http://opencoasts.lnec.pt/) • Need to providetimelyforecasts Chlorophyll a (mg/l) in the Tagus estuary
Scenarios • Simulationofseveralscenarios of climate change (e.g. sea level rise) and anthropogenic pressures (e.g. wastewater discharges) -> high computational demands Minimum, meanandmaximumsalinity in the Tagus estuary for thereferencescenario
UBEST Web Platform:Today Features: - Fetchtoday’s data andmodelinformation for eachobservatory - Filterobservatory data bychoosing a set ofdetailsonthis menu
UBEST Plataform:Data Features: - Filter data fromrepositorybychoosing a set ofdetails - Data statistics - Viewandexport data
UBEST Plataform:Forecasts Features: - Fetchmodelinformationfrommap server - Usercan selectvariableand time step to display - Probeonmodelresults - Data-modelcomparison
Final Remarks • Water observatories: continuous surveillance • The use of HPC allows both the timely production of daily forecasts and the generation of long-term simulations for the scenarios • Web platform: access to observations, daily forecasts, future scenarios and indicators to support the daily and long-term management of coastal systems
Acknowledgements Project UBEST - PTDC/AAG-MAA/6899/2014 Project INCD - LISBOA-01-0145-FEDER-022153 Project EOSC-hub - Grant Agreement No 777536
Thank you for your attention Marta Rodrigues mfrodrigues@lnec.pt http://ubest.lnec.pt/